The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

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    Forked from dependabot/demo

    🤖 ForkDependabot

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    Git worktree management for Pi: sibling layout, conventional-commit branches, full-session /worktree dispose, hardened. Threadsafe Systems fork.

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    Pi package: generate a self-contained HTML architecture explorer for any repository

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

Popular repositories Loading

  1. LLMComparison LLMComparisonPublic

    Simple webapp to compare one-shot prompt responses from various providers/models

    HTML

  2. .github .githubPublic

    Something good is coming...

  3. dependabot dependabotPublic template

    Forked from dependabot/demo

    🤖 ForkDependabot

    Ruby

  4. pi-worktree pi-worktreePublic

    Git worktree management for Pi: sibling layout, conventional-commit branches, full-session /worktree dispose, hardened. Threadsafe Systems fork.

    TypeScript

  5. pi-repo-html pi-repo-htmlPublic

    Pi package: generate a self-contained HTML architecture explorer for any repository

    HTML

  6. pi-md-to-pdf pi-md-to-pdfPublic

    Pi package: render Markdown to a clean A4 PDF fully offline (layout-only, no pandoc).

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

Popular repositories Loading

  1. LLMComparison LLMComparisonPublic

    Simple webapp to compare one-shot prompt responses from various providers/models

    HTML

  2. .github .githubPublic

    Something good is coming...

  3. dependabot dependabotPublic template

    Forked from dependabot/demo

    🤖 ForkDependabot

    Ruby

  4. pi-worktree pi-worktreePublic

    Git worktree management for Pi: sibling layout, conventional-commit branches, full-session /worktree dispose, hardened. Threadsafe Systems fork.

    TypeScript

  5. pi-repo-html pi-repo-htmlPublic

    Pi package: generate a self-contained HTML architecture explorer for any repository

    HTML

  6. pi-md-to-pdf pi-md-to-pdfPublic

    Pi package: render Markdown to a clean A4 PDF fully offline (layout-only, no pandoc).

    Shell

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

Popular repositories Loading

  1. LLMComparison LLMComparisonPublic

    Simple webapp to compare one-shot prompt responses from various providers/models

    HTML

  2. .github .githubPublic

    Something good is coming...

  3. dependabot dependabotPublic template

    Forked from dependabot/demo

    🤖 ForkDependabot

    Ruby

  4. pi-worktree pi-worktreePublic

    Git worktree management for Pi: sibling layout, conventional-commit branches, full-session /worktree dispose, hardened. Threadsafe Systems fork.

    TypeScript

  5. pi-repo-html pi-repo-htmlPublic

    Pi package: generate a self-contained HTML architecture explorer for any repository

    HTML

  6. pi-md-to-pdf pi-md-to-pdfPublic

    Pi package: render Markdown to a clean A4 PDF fully offline (layout-only, no pandoc).

    Shell

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

Popular repositories Loading

  1. LLMComparison LLMComparisonPublic

    Simple webapp to compare one-shot prompt responses from various providers/models

    HTML

  2. .github .githubPublic

    Something good is coming...

  3. dependabot dependabotPublic template

    Forked from dependabot/demo

    🤖 ForkDependabot

    Ruby

  4. pi-worktree pi-worktreePublic

    Git worktree management for Pi: sibling layout, conventional-commit branches, full-session /worktree dispose, hardened. Threadsafe Systems fork.

    TypeScript

  5. pi-repo-html pi-repo-htmlPublic

    Pi package: generate a self-contained HTML architecture explorer for any repository

    HTML

  6. pi-md-to-pdf pi-md-to-pdfPublic

    Pi package: render Markdown to a clean A4 PDF fully offline (layout-only, no pandoc).

    Shell

Repositories

Showing 7 of 7 repositories

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

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    HTML

  2. .github .githubPublic

    Something good is coming...

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    Pi package: generate a self-contained HTML architecture explorer for any repository

    HTML

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

The New Competitive Edge: AI-Native organisations

ThreadSafe Systems

For three decades, I've been on the front lines of software engineering and technical leadership, witnessing wave after wave of technological change. I've seen platforms rise, architectures evolve, and entire industries transform. But the current shift, driven by Artificial Intelligence, is different.

For the first time, the most advanced software capabilities are no longer the exclusive domain of large enterprises with vast budgets. AI has dramatically lowered the barrier to entry, creating a pivotal opportunity for small and medium-sized businesses to acquire sophisticated solutions that can fundamentally reshape their operations.

Our focus is now dedicated to proving and delivering this value.

From Operational Drag to Strategic Advantage

There has never been a better time to be a founder or run a lean startup. The problem of individual scale has, to a large degree, been solved. What once took entire teams months of skilled input to get a product into the open has been reduced to a small team deliverying tangible results in a matter of weeks. The promise of an AI-Native business can be a reality. Agent harnesses are a growing segment and we will start to see incredibly sophisticated offerings emerge. The current crop of open source offerings are catering to open-ended uses and still require a not insignificant investment in time and often some deep technical skill. They absolutely do work if you can put the time and effort in to customise these types of product.

We beleive a smaller set of well defined, opinionated capabilities can lead to a more-or-less turn-key solution - freeing up the org to focus on what really matters.

This is where we come in.

At threadsafe.systems, we are building a small enterprise in a box. Specifically tailored to the needs of founders and startups, the very thing we want for our own business - the virtual chief of staff that is always connected, always current, knows what the business is, who the team members are, what the objectives are and can tie everything together in a single place.

Out of the box it will know how to build infrastructure, how to design and build product, how to organise and project manage.

Configuration should be intuitive and transparent. Skills should be first-class assets that can move from natural language prompts to efficient code! Rather than skill bloat becoming a context issue, skills can actually reduce in size and be organised against agent personas. This is a particular shortcoming with many of today's solutions where thousands of tokens are wasted, stuffing every agent prompt with an entire corpus of information.

Memory is not a file. The agent prompt should not be a dumping ground for every conceivable action or acquired piece of memory. Instead, the agent should understand the context of it's request by having relevant information in its prompt. This should not be something that has to be engineered afresh with each new agent. It shouldn't be a skill that needs defining.

And crucially, you should not need to be an engineer to setup, configure and evolve the solution. You shouldn't need to weigh up memory solutions or worry about how much of it there is. You shouldn't have to jump through hoops to get data sources integrated and incorporated.

We are solving for cold start with productivity gains from the very first interaction. A solution that not only knows your business, but will effortlessly scale with it.

Let's Build the Future

If you are interested in what an ai-native agent solution could do for your business, let's connect.

info@threadsafe.systems

Popular repositories Loading

  1. LLMComparison LLMComparisonPublic

    Simple webapp to compare one-shot prompt responses from various providers/models

    HTML

  2. .github .githubPublic

    Something good is coming...

  3. dependabot dependabotPublic template

    Forked from dependabot/demo

    🤖 ForkDependabot

    Ruby

  4. pi-worktree pi-worktreePublic

    Git worktree management for Pi: sibling layout, conventional-commit branches, full-session /worktree dispose, hardened. Threadsafe Systems fork.

    TypeScript

  5. pi-repo-html pi-repo-htmlPublic

    Pi package: generate a self-contained HTML architecture explorer for any repository

    HTML

  6. pi-md-to-pdf pi-md-to-pdfPublic

    Pi package: render Markdown to a clean A4 PDF fully offline (layout-only, no pandoc).

    Shell

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